Title:
SAFETY-ECONOMY-BASED ELECTRIC-THERMAL INTEGRATED ENERGY CONTROL METHOD
Document Type and Number:
WIPO Patent Application WO/2024/016504
Kind Code:
A1
Abstract:
A safety-economy-based electric-thermal integrated energy control method, comprising: predicting renewable energy and multivariate loads in an integrated energy system by means of a pre-trained SA-PSO-BP neural network, constructing an objective function of the integrated energy system, and adding power network constraints and thermal network constraints for optimal scheduling; and performing optimization solving on the objective function on the basis of prediction results of the renewable energy and the multivariate loads and by using a simulated annealing-particle swarm optimization (SA-PSO) algorithm, and controlling the integrated energy system according to an optimal solution to the objective function, wherein a training process comprises: training a BP neural network by means of a feature training set, and iteratively updating a weight value and a threshold value of the BP neural network by using the SA-PSO algorithm so as to obtain an SA-PSO-BP neural network.
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Inventors:
DOU CHUNXIA (CN)
WANG HAO (CN)
YUE DONG (CN)
ZHANG ZHIJUN (CN)
WANG HAO (CN)
YUE DONG (CN)
ZHANG ZHIJUN (CN)
Application Number:
PCT/CN2022/126957
Publication Date:
January 25, 2024
Filing Date:
October 24, 2022
Export Citation:
Assignee:
UNIV NANJING POSTS & TELECOMMUNICATIONS (CN)
International Classes:
G06Q10/06; G06Q50/06
Foreign References:
| CN115169916A | 2022-10-11 | |||
| CN111191820A | 2020-05-22 | |||
| CN111709182A | 2020-09-25 | |||
| CN113239607A | 2021-08-10 | |||
| JP2011130584A | 2011-06-30 |
Other References:
HONGWEI KANG, LI QIANG; YU SHUO; YAO SHUN: "Ultra Short-Term Forecasting for Wind Power Output Based on SA-PSO-BP Algorithmr", INNER MONGOLIA ELECTRIC POWER, vol. 38, no. 6, 28 December 2020 (2020-12-28), pages 64 - 68, XP093130607, ISSN: 1008-6218, DOI: 10.3969/j.issn.1008-6218.2020.00.103
Attorney, Agent or Firm:
NANJING ZONGHENG INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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